This study screened microRNAs (miRNAs) that are abnormally expressed in papillary thyroid carcinoma (PTC) tissues to identify PTC and nodular goiter and the degree of PTC malignancy. A total of 51 thyroid tumor tissue specimens paired with adjacent normal thyroid tissues were obtained from the Department of Surgical Oncology of Hangzhou First People’s Hospital from June-December 2011. miRNA expression profiles were examined by microarrays and validated by quantitative real-time PCR (qRT-PCR). Expression levels of the miRNAs were analyzed to assess if they were associated with selected clinicopathological features. Eleven miRNAs were significantly differentially expressed between nodular goiter and PTC and between highly invasive and low invasive PTC. miR-199b-5p and miR-30a-3p were significantly differentially expressed among the three groups. miR-30a-3p, miR-122-5p, miR-136-5p, miR-146b-5p and miR-199b-5p were selected for further study by qRT-PCR and miR-146b-5p, miR-199b-5p and miR-30a-3p were different between the PTC and nodular goiter groups. miR-199b-5p was over-expressed in PTC patients with extrathyroidal invasion and cervical lymph node metastasis. In conclusion miR-146b-5p, miR-30a-3p, and miR-199b-5p may serve as biomarkers for the diagnosis of PTC and miR-199b-5p is associated with PTC invasiveness.

Background: Papillary thyroid cancer (PTC) is one of the most common endocrine malignancies with different risk levels. However, preoperative risk assessment of PTC is still a challenge in the worldwide. Here, the authors first report a Preoperative Risk Assessment Classifier for PTC (PRAC-PTC) by multidimensional features including clinical indicators, immune indices, genetic feature, and proteomics. Materials and Methods: The 558 patients collected from June 2013 to November 2020 were allocated to three groups: the discovery set [274 patients, 274 formalin-fixed paraffin-embedded (FFPE)], the retrospective test set (166 patients, 166 FFPE), and the prospective test set (118 patients, 118 fine-needle aspiration). Proteomic profiling was conducted by FFPE and fine-needle aspiration tissues from the patients. Preoperative clinical information and blood immunological indices were collected. The BRAF ^V600E mutation were detected by the amplification refractory mutation system. Results: The authors developed a machine learning model of 17 variables based on the multidimensional features of 274 PTC patients from a retrospective cohort. The PRAC-PTC achieved areas under the curve (AUC) of 0.925 in the discovery set and was validated externally by blinded analyses in a retrospective cohort of 166 PTC patients (0.787 AUC) and a prospective cohort of 118 PTC patients (0.799 AUC) from two independent clinical centres. Meanwhile, the preoperative predictive risk effectiveness of clinicians was improved with the assistance of PRAC-PTC, and the accuracies reached at 84.4% (95% CI: 82.9–84.4) and 83.5% (95% CI: 82.2–84.2) in the retrospective and prospective test sets, respectively. Conclusion: This study demonstrated that the PRAC-PTC that integrating clinical data, gene mutation information, immune indices, high-throughput proteomics and machine learning technology in multicentre retrospective and prospective clinical cohorts can effectively stratify the preoperative risk of PTC and may decrease unnecessary surgery or overtreatment.

Background: The incidence of thyroid cancer has increased dramatically in recent decades due, in large part, to identifications of subclinical diseases. Literature on thyroid cancer has examined the pathogenesis of high invasive papillary thyroid cancer (PTC) and has improved the prevention and treatment of PTC. This study aims to investigate the effects of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) on PTC migration and invasion, and clarify the regulatory mechanisms between miR-146b-5p and MALAT1. Materials and Methods: In this study, we examined the differential expression of MALAT1, miR-146b-5p, and DNA methyltransferases 3A (DNMT3A) in PTC tissues. The effect of MALAT1 on the proliferation and invasion ability of PTC cells was verified by constructing a sh-MALAT1 knockdown cell model. Correlations between MALAT1, miR-146b-5p, and DNMT3A were analyzed by the Pearson correlation method. Finally, we verified the regulatory relationship between miR-146b-5p and MALAT1 by the luciferase assay and rescue assay. Results: The expression of MALAT1 was upregulated in PTC tissues and cells, while a MALAT1 knockdown counteracted cellular activity, migration, and invasion of B-CPAP and K1 cells. The relationship between miR-146b-5p and DNMT3A was negative, while the relationship between miR-146b-5p and MALAT1 was positive. Both genes were separately detected using the Pearson correlation method. The luciferase assay and rescue assay demonstrated that a binding site in miR-146b-5p was existent in the 3′ untranslated region of DNMT3A, while a knockdown of DNMT3A partially rescued si-miR-146b-5p induced proliferation, migration, and invasion effects on PTC cells. Conclusions: The MALAT1 gene is highly expressed in PTC, while the knockdown MALAT1 gene attenuates the cellular activity and invasive ability of PTC cells. The microRNA miR-146b-5p can promote a MALAT1 expression by negatively regulating DNMT3A in PTC.

The aim of the present study was to improve the conventional wire-guided localization biopsy (WGLB) of breast microcalcifications to overcome disadvantages associated with the procedure, including inaccurate localization and large specimen volume. The novel approach described in the present study was termed double wire‑guided localization and rotary cutting biopsy (DWGLB). Prior to surgery, the precise localization of the lesions was assessed using two wires under the assistance of mammography X‑ray and ultrasound, followed by complete excision of the lesions using a novel rotary cutting tool. The cylindrical specimen was placed on a scaled specimen holder for pathological examination. DWGLB was performed in 108 patients with the classification of as Breast Imaging Reporting and Data System score 4A. Percutaneous localization of the lesions guided by a mammography X‑ray and ultrasound were successful in all 108 lesions (100%) with one puncture attempt. The lesions were precisely excised in all of 108 patients, and included 13 malignant lesions (DCIS of breast in 7 cases, DCIS with focal invasive carcinoma in 3 cases and invasive ductal carcinoma in 3 cases). The average distance of the BARD Dualok to the lesion was 4.1 mm; the average weight of specimens was 8.5 g. Compared with WGLB, DWGLB offers several advantages, including more accurate localization of lesions, a more standardized biopsy method and a smaller specimen volume. DWGLB can also provide the precise position of lesions in the specimen for further pathological examination.